Weapon Detection

- Developed an object detection model using YOLOv5 to identify guns, knives, bombs, and swords from the SOHAs Weapon Detection Dataset.

- Applied data preprocessing, annotation handling, and augmentation techniques to improve model robustness.

- Integrated OpenCV for real-time image and video analysis, enabling live detection and visualization.

-Achieved high precision and recall in weapon classification, contributing to AI-driven security and surveillance solutions.